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Afzal, F, Yunfei, S, Sajid, M and Afzal, F (2019) Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects. Engineering, Construction and Architectural Management, 27(04), 825–49.

Bonanomi, M M, Hall, D M, Staub-French, S, Tucker, A and Talamo, C M L (2019) The impact of digital transformation on formal and informal organizational structures of large architecture and engineering firms. Engineering, Construction and Architectural Management, 27(04), 872–92.

Feghaly, J, El Asmar, M, Ariaratnam, S and Bearup, W (2019) Selecting project delivery methods for water treatment plants. Engineering, Construction and Architectural Management, 27(04), 936–51.

Kannimuthu, M, Raphael, B, Ekambaram, P and Kuppuswamy, A (2019) Comparing optimization modeling approaches for the multi-mode resource-constrained multi-project scheduling problem. Engineering, Construction and Architectural Management, 27(04), 893–916.

Luo, M, Fan, H and Liu, G (2019) Measuring regional differences of construction productive efficiency in China. Engineering, Construction and Architectural Management, 27(04), 952–74.

Ma, H, Liu, Z, Zeng, S, Lin, H and Tam, V W (2019) Does megaproject social responsibility improve the sustainability of the construction industry?. Engineering, Construction and Architectural Management, 27(04), 975–96.

Viles, E, Rudeli, N C and Santilli, A (2019) Causes of delay in construction projects: a quantitative analysis. Engineering, Construction and Architectural Management, 27(04), 917–35.

  • Type: Journal Article
  • Keywords: Scheduling; Design management; Construction planning;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-01-2019-0024
  • Abstract:
    The purpose of this paper is to perform a quantitative analysis of the literature in order to determine the main causes of delay in construction projects. Design/methodology/approach A set of 47 articles from the literature were analyzed, yielding 1,057 different causes of delay. In order to analyze and compare the main causes of delay, their degree of impact was studied statistically. Next, a mention count method was used to determine the primary causes of construction project delays and through the use of Pareto diagrams, the main causes of delays in construction projects were determined. Findings It was determined that the three main causes of construction project delay are problems that occur during execution, administrative problems and labor conflicts; together they account for almost 80 percent of the causes found in the literature. Moreover, it was deduced that problems during execution are based on unpredictable events, while administrative problems are rooted in poor cash flow management. In addition, seven sub-groups of delay causes were identified as being major due to the number of mentions detected. These were “Changes during construction,” “Poor construction management,” “Construction errors,” “Economic/Financial,” “Conflict/Relationship” and “Lack of experience.” Practical implications This study provides a unique classification method, which was successfully validated, for the causes of construction project delay. Thanks to the classification, designers may use this information as a starting point for designing future construction projects, thereby minimizing the appearance of unforeseen events during construction. Moreover, the results of this study will help project managers be aware of the possible causes of delay that may affect their construction projects. This understanding can help them identify potential risks in the initial phases of the project and allow decisions to be made early before problems arise or the consequences of the deviations become irreparable. The results can also serve as input for the development of future management improvement methodologies that are aimed at reducing costs and ensuring that deadlines are met. Social implications Identifying the factors and causes of the delays will allow mitigation actions to be taken in order to avoid delays, which will ultimately allow homes, schools, hospitals and other necessary infrastructure to be delivered on time or even before the planned date. Originality/value This study provides a unique classification method that was successfully validated. Thanks to the classification, designers may use this information as a starting point for designing future construction projects, thereby minimizing unforeseen events during construction.

Wang, S, Tang, J, Zou, Y and Zhou, Q (2019) Research on production process optimization of precast concrete component factory based on value stream mapping. Engineering, Construction and Architectural Management, 27(04), 850–71.